Book Image

Rust High Performance

By : Iban Eguia Moraza
Book Image

Rust High Performance

By: Iban Eguia Moraza

Overview of this book

This book teaches you how to optimize the performance of your Rust code so that it is at the same level as languages such as C/C++. You'll understand and fi x common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code. You will master the features of the language, which will make you stand out, and use them to greatly improve the efficiency of your algorithms. The book begins with an introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to optimize both performance and safety at compile time. You will learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving forward, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. Finally, you will learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Chapter 11. Asynchronous Programming

Until now, the only way we have seen to achieve concurrency in Rust is to create multiple threads, one way or another, to share the work. Nevertheless, those threads sometimes need to stop and look for something, such as a file or a network response. In those cases, the whole thread will be blocked and it will need to wait for the response.

This means that if we want to achieve a low latency for things such as an HTTP server, one way to do it is by spawning one thread per request, so that each request can be served as quickly as possible even if others block.

As we have seen, spawning hundreds of threads is not scalable, since each thread will have its own memory and will consume resources even if it's blocked. In this chapter, you will learn a new way of doing things by using asynchronous programming.

In this chapter, you will learn about the following:

  • Asynchronous primitives with mio
  • Using futures
  • The new async/await syntax and generators
  • Asynchronous I/O...